Considerations in assigning dose based on uncertainties from in vivo counting.
Lung counting is highly geometry dependent, especially at low photon energies. Monte Carlo simulations have been used to determine the magnitude of the errors obtained if it is assumed that the deposition is homogeneous, when in fact it is not. Simulation for a germanium lung counting system consisting of four, 70 mm x 30 mm diameter thick detectors have been performed for 70 deposition patterns. The detector efficiencies for 20, 40, 60, 120, 240, 660, and 1000 kiloelectron volts were calculated for a homogeneous deposition and these efficiencies were used to estimate the bias when the deposition was heterogeneous. A bias of 800% was not unusual. Whole-body counting is prone to errors that can arise from the activity distribution and/or size of the subject. The latter are geometry dependent and, for example, a bias result of 200% can be obtained when measuring children in a chair geometry using a calibration factor based on reference man. Thyroid counting is the least prone to error. If the measurement is done correctly, biases can usually be kept below 20%. However, if the measurement is made with a collimator or if the detector is in contact with the subject's neck, biases exceeding 200% can be obtained.
Kramer
G H
GH
National Calibration Reference Centre for In Vivo Monitoring, Human Monitoring Laboratory, Ottawa, Ontario, Canada. gary_h_kramer@cnet.hc-sc.gc.ca
D006801:Humans; D009010:Monte Carlo Method; D011829:Radiation Dosage; D011874:Radiometry; D015203:Reproducibility of Results; D014915:Whole-Body Counting